@article{b,
title = {Collective dynamics of social annotation},
author = {Ciro Cattuto and Alain Barrat and Andrea Baldassarri and Gregory Schehr and Vittorio Loreto},
url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-67649743814&partnerID=65&md5=b62adb16a4fd2991f30173cc832acb65
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=000267564300024&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=0c7ff228ccbaaa74236f48834a34396a},
year = {2009},
date = {2009-01-01},
journal = {PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (PNAS)},
volume = {106},
pages = {10511--10515},
publisher = {National Academy of Sciences:2101 Constitution Avenue Northwest:Washington, DC 20418:(877)314-2253, (615)377-3322, EMAIL: subspnas@nas.edu, INTERNET: http://www.pnas.org, Fax: (615)377-0525},
keywords = {baldassarri, barrat, cattuto, loreto, schehr, social_annotation, techno_social_systems},
pubstate = {published},
tppubtype = {article}
}
@article{b,
title = {Semiotic dynamics and collaborative tagging},
author = {Ciro Cattuto and Vittorio Loreto and Luciano Pietronero},
url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-33846811604&partnerID=65&md5=2c999e995248b00346e3529eddcd4365
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=000244081000006&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=0c7ff228ccbaaa74236f48834a34396a, http://www.pnas.org/content/104/5/1461},
year = {2007},
date = {2007-01-01},
journal = {PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (PNAS)},
volume = {104},
pages = {1461--1464},
publisher = {The National Academy of Sciencs of the USA - 2101 CONSTITUTION AVE NW, WASHINGTON, DC 20418 USA},
abstract = {Collaborative tagging has been quickly gaining ground because of its ability to recruit the activity of web users into effectively organizing and sharing vast amounts of information. Here we collect data from a popular system and investigate the statistical properties of tag cooccurrence. We introduce a stochastic model of user behavior embodying two main aspects of collaborative tagging: (i) a frequency-bias mechanism related to the idea that users are exposed to each other's tagging activity; (ii) a notion of memory, or aging of resources, in the form of a heavy-tailed access to the past state of the system. Remarkably, our simple modeling is able to account quantitatively for the observed experimental features with a surprisingly high accuracy. This points in the direction of a universal behavior of users who, despite the complexity of their own cognitive processes and the uncoordinated and selfish nature of their tagging activity, appear to follow simple activity patterns.},
keywords = {cattuto, loreto, pietronero, techno_social_systems},
pubstate = {published},
tppubtype = {article}
}
Collaborative tagging has been quickly gaining ground because of its ability to recruit the activity of web users into effectively organizing and sharing vast amounts of information. Here we collect data from a popular system and investigate the statistical properties of tag cooccurrence. We introduce a stochastic model of user behavior embodying two main aspects of collaborative tagging: (i) a frequency-bias mechanism related to the idea that users are exposed to each other's tagging activity; (ii) a notion of memory, or aging of resources, in the form of a heavy-tailed access to the past state of the system. Remarkably, our simple modeling is able to account quantitatively for the observed experimental features with a surprisingly high accuracy. This points in the direction of a universal behavior of users who, despite the complexity of their own cognitive processes and the uncoordinated and selfish nature of their tagging activity, appear to follow simple activity patterns.
